Ming‐Whei Yu
- Epidemiology top 0.5%
- Hepatology top 0.2%
- Molecular Biology top 5%
- Cancer Research top 2%
- Oncology top 5%
- Co-authors
- Yun‐Fan LiawChien‐Jen ChenChun‐Jen LiuChih‐Lin LinPei‐Jer ChenRegina M. SantellaWei‐Liang ShihLi‐Yu Wang
- Topics
- Liver Disease Diagnosis and Treatment (42 papers)Hepatitis B Virus Studies (40 papers)Hepatitis C virus research (26 papers)
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Ming‐Whei Yu
77 papers receiving 4.7k citations
Peers
Comparison fields: 5 of 122
- Epidemiology 2.8k
- Hepatology 2.3k
- Molecular Biology 1.4k
- Cancer Research 763
- Oncology 586
Countries citing papers authored by Ming‐Whei Yu
This map shows the geographic impact of Ming‐Whei Yu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ming‐Whei Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming‐Whei Yu more than expected).
Fields of papers citing papers by Ming‐Whei Yu
This network shows the impact of papers produced by Ming‐Whei Yu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ming‐Whei Yu. The network helps show where Ming‐Whei Yu may publish in the future.
Co-authorship network of co-authors of Ming‐Whei Yu
This figure shows the co-authorship network connecting the top 25 collaborators of Ming‐Whei Yu. A scholar is included among the top collaborators of Ming‐Whei Yu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ming‐Whei Yu. Ming‐Whei Yu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 60 | |
| 3 | 53 | |
| 4 | 81 | |
| 5 | 89 | |
| 6 | 429 | |
| 7 | 91 | |
| 8 | 90 | |
| 9 | 25 | |
| 10 | Role of N-acetyltransferase polymorphisms in hepatitis B-related hepatocellular carcinoma: impact on risk of smoking | 2 |
| 11 | Plasma carotenoids, glutathione S-transferases M1 and T1 genetic polymorphisms and risk of hepatocellular carcinoma risk: Independent and interactive effects | 1 |
| 12 | 79 | |
| 13 | 24 | |
| 14 | 23 | |
| 15 | 157 | |
| 16 | Correlations of chronic hepatitis B virus infection and cigarette smoking with elevated expression of neu oncoprotein in the development of hepatocellular carcinoma. | 26 |
| 17 | 32 | |
| 18 | Serum c-erbB-2 oncopeptide in hepatocellular carcinogenesis | 12 |
| 19 | 32 | |
| 20 | 5 |
About Ming‐Whei Yu
Ming‐Whei Yu is a scholar working on Hepatology, Epidemiology and Cancer Research, having authored 79 papers that have together received 4.8k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (42 papers), Hepatitis B Virus Studies (40 papers) and Hepatitis C virus research (26 papers). The work is most often cited by research in Hepatology (2.3k citations), Epidemiology (2.8k citations) and Cancer Research (763 citations). Ming‐Whei Yu has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Yun‐Fan Liaw, Chien‐Jen Chen, Chien‐Jen Chen, Chun‐Jen Liu, Chih‐Lin Lin, Pei‐Jer Chen, Regina M. Santella, Wei‐Liang Shih, Yun‐Fan Liaw and Li‐Yu Wang. Their work appears in journals such as Journal of Clinical Oncology, Gastroenterology and PLoS ONE.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.